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Research article

Different types of multifractal measures in separable metric spaces and their applications

  • Received: 18 January 2023 Revised: 25 February 2023 Accepted: 15 March 2023 Published: 31 March 2023
  • MSC : 28A78, 28A80

  • The properties of various fractal and multifractal measures and dimensions have been under extensive study in the real-line and higher-dimensional Euclidean spaces. In non-Euclidean spaces, it is often impossible to construct non-trivial self-similar or self-conformal sets, etc. We consider in the present paper the proper way to phrase the definitions for use in general metric spaces. We investigate the relative Hausdorff measures Hq,tμ and the relative packing measures Pq,tμ defined in a separable metric space. We give some product inequalities which are a consequence of a new version of density theorems for these measures. Moreover, we prove that Hq,tμ and Pq,tμ can be expressed as Henstock-Thomson variation measures. The question of the weak-Vitali property arises in this context.

    Citation: Najmeddine Attia, Bilel Selmi. Different types of multifractal measures in separable metric spaces and their applications[J]. AIMS Mathematics, 2023, 8(6): 12889-12921. doi: 10.3934/math.2023650

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  • The properties of various fractal and multifractal measures and dimensions have been under extensive study in the real-line and higher-dimensional Euclidean spaces. In non-Euclidean spaces, it is often impossible to construct non-trivial self-similar or self-conformal sets, etc. We consider in the present paper the proper way to phrase the definitions for use in general metric spaces. We investigate the relative Hausdorff measures Hq,tμ and the relative packing measures Pq,tμ defined in a separable metric space. We give some product inequalities which are a consequence of a new version of density theorems for these measures. Moreover, we prove that Hq,tμ and Pq,tμ can be expressed as Henstock-Thomson variation measures. The question of the weak-Vitali property arises in this context.



    Multifractal theory was first introduced by Mandelbrot in [43,44]. In the multifractal analysis of measures, the study of the behavior of the measure is usually transformed into a study of sets related to the local behavior of such measures called level sets and defined according to the so-called Holder regularity of the measure. The focus thus may somehow forget about the measure and its point-wise character and falls in set theory and the suitable coverings that permit the computation of the Hausdorff dimension. However, some geometric sets are essentially known by means of measures that are supported by them, i.e., given a set E and a measure μ, the quantity μ(E) may be computed as the maximum value μ(F) for all subsets FE. So, contrarily to the previous idea, we mathematically forget the geometric structure of E and focus instead on the properties of the measure μ. The set E is thus partitioned into α-level sets Xμ(α) relatively to the regularity exponent of μ. This makes the inclusion of the measure μ into the computation of the Hausdorff (or fractal) dimension and thus into the definition of the Hausdorff measure a necessity to understand more the geometry of the set simultaneously with the behavior of the measure that is supported on. One step ahead in this direction has been conducted by Olsen in [50] where the author introduced multifractal generalizations of the fractal dimensions such as Hausdorff, packing and Bouligand ones by considering general variants of measures.

    Then Olsen established the multifractal formalism in [50] and proved some density theorems for the multifractal Hausdorff measure Hq,tμ and the multifractal packing measure Pq,tμ in Rd, d1. These measures have been investigated by a large number of authors [6,19,26,28,32,34,51,52,54,57]. The measure Hq,tμ is of course a multifractal generalization of the centered Hausdorff measure, whereas Pq,tμ is a multifractal generalization of the packing measure. Moreover, the developments showed that to get a valid variant of the multifractal formalism does not require the application of radius power-laws equivalent measures. This leads one to think about a general framework where the restriction of the function on balls may be any measure which is not equivalent to power-laws rα and develop a new multifractal analysis (see also [49,66]). In particular, J. Cole introduced in [16] a general formalism for the multifractal analysis of one probability measure μ with respect to another measure ν. More specifically, he calculated, for α0, the size of the set

    E(α)={xsuppμsuppν;limr0logμ(B(x,r))logν(B(x,r))=α},

    where suppμ is the topologic support of μ. For this, Cole introduced a generalized Hausdorff and packing measures Hq,tμ and Pq,tμ respectively, where μ=(μ,ν). The relative multifractal dimensions b and B defined by these measures were used to give estimates for the multifractal spectrum of a measure. In several recent papers on multifractal analysis, this type of multifractal analysis has re-emerged as mathematicians and physicists have begun to discuss the idea of performing multifractal analysis with respect to an arbitrary reference measure, see for example [2,7,19,20,42,49,59,60,61] see also [8,9,10]. In [22,37], the authors prove a modification of this type of analysis. Instead of studying sets of points with a local dimension which is given with respect to the Lebesgue measure, they studied sets of points with a local dimension given with respect to a non-atomic probability measure ν and checks an auxiliary condition. Actually, it is very natural to study this formalism of multifractal analysis for what differs slightly from what was introduced in [16]. The difference between the two types is that we used centered ν-δ-coverings and centered ν-δ-packings rather than centered δ-coverings and δ-packings. These relative multifractal measures and dimensions have been used for other purposes as well, for example, [19,59] and have recently become an object of study themselves, see [22,42,60,61]. Its intuitive connection to statistical mechanics has been a major theme in the development of multifractal analysis of one measure with respect to another. The use of thermodynamic formalism in the context of the code space is the focus of this analysis. It introduces topological pressure, Gibbs states, and entropy in particular, and it derives the variational principle, which connects pressure and entropy. We have focused our attention on what, in our opinion, are the key historical advances in the field because there is a wealth of material on the subject and it is surely conceivable to produce a book on it in many volumes.

    Balls in the space Rd obtained from the usual Euclidean norm possess certain nice regularity properties: the diameter of a ball is twice its radius, and open and closed balls of the same radius have the same diameter. In arbitrary metric spaces, the possible absence of such regularity properties means that the usual measure construction based on diameters can lead to packing measures with undesirable features. We will show that, under some new definitions, the fundamental properties of Euclidean measures carry over to general metric spaces. In this paper, we will investigate the measures Hq,tμ and Pq,tμ in a general metric space. In particular, we prove that they are regular in section 2. In section 3.1, we will prove that these measures can be expressed as Henstock-Thomas "variation" measures. As an applicaton, we prove that Hq,tμPq,tμ provided that μ and ν satisfying the doubling condition in a general metric space (see definition in section 2).

    Regular sets are defined by density with respect to the Hausdorff measure [17,23,27,46,47,48], to packing measure [56,63,64] or to Hewitt-Stromberg measure [3,4,11,39,40,41]. Tricot et al. [56,63] managed to show that a subset of Rd has an integer Hausdorff and packing dimension if it is strongly regular. Then, the results of [56] were improved to a generalized Hausdorff measure in a Polish space by Mattila and Mauldin in [47]. Later, Baek [12] used the multifractal density theorems [50,53] to prove the decomposition theorem for the regularities of a generalized centered Hausdorff measure and a generalized packing measure in a Euclidean space which enables him to split a set into regular and irregular parts. In addition, he extended the Olsen's density theorem to any measurable set. Later, these results have been improved in some different contexts in [21,22,58,59]. In the present paper, we will formulate a new version of the density theorem given in [23,50,56] in section 5.1. As an application, we will study the generalized Hausdorff and packing measures of cartesian product sets by means of the measure of their components. Furthermore, we will set up in section 5.2 a necessary and sufficient condition for which we have Hq,tμ(E)=Pq,tμ(E): such set E is said to be strong regular.

    We end this section with some useful definitions. Let (X,ρ) be a separable metric space and consider nonempty subset E of X. The diameter of E is defined by

    diam(E)=sup{ρ(x,y);x,yE}.

    We define the closed ball with center x and radius r>0 by

    B(x,r)={yX;ρ(x,y)r}.

    In most "regular" spaces, such as Euclidean space Rd, an open or closed ball has one center and one radius, in particular, r=diam(B)/2; however, in general, neither the radius nor center of a ball need be unique. For convenience, take X={(x,y)R2;x0}B, where B={(2,0),(3,0)}, with the subspace topology inherited from R2. Let a=(2,0) and b=(3,0), then,

    B(a,r1)=B(b,r2)={a,b}

    for any r1(1,2) and r2[1,3). In particular diam(B)=1. Therefore, in general metric space, the center x or radius r of a ball are not uniquely determined by the sets B(x,r) so we emphasize a center and radius are given as the constituent.

    Definition 1. A constituent π is a collection of ordered pairs (x,r), where xX and r>0. It represents the closed ball centered at x with radius r. Let ε>0, π is said to be ε-fine if rε for all (x,r)π. Moreover, π is said to be fine cover of EX if, for every xE and every δ>0, there exists r>0 such that r<δ and (x,r)π.

    We consider a collection of constituents π={(xi,ri)} with xiE and ri>0, then in several spaces (such Euclidean space Rd) we have π is a packing of E if, and only if, π is a relative-packing of E, i.e., for all (x,r)(x,r)π we have

    ρ(x,x)>r+rB(x,r)B(x,r)=.

    Clearly this is not the case in general metric space and so we may consider a variant definition of packing measure. In addition, we can also relax the condition on ball relative-packings, and consider families of balls {(xi,ri)} centered in E such that the intersection of any two of them contains no point xi, which we will called weak-packing of E. This gives a three different generalized packing measures : Pq,tμ, Rq,tμ and Wq,tμ respectively.

    Let ΘP(X), we say that Θ has the weak-Vitali property (respectively, relative-Vitali, strong-Vitali) if, for any Borel set EX with Θ(E)< and any fine cover β of E, there exists a countable weak-packing πβ of E (respectively, relative-packing, packing) such that

    Θ(E(x,r)πB(x,r))=0.

    It's clear that if a measure Θ has the strong-Vitali property then Θ has the relative-Vitali property and if Θ has the relative-Vitali property then Θ has the weak-Vitali property. Moreover, if X is the Euclidean space Rd then every finite Borel measure has the strong-Vitali property [13,24]. Unfortunately, the strong Vitali property (and even the weak-Vitali property) fails for some measures in some metric spaces. For this, we will assume this property when required which is not a restrictive assumption in this paper. The interested reader is referred to [30,31,38] for more discussion.

    Let (X,ρ) be a separable metric space and denote by P(X) the set of finite positive Borel measures on X. For μP(X) and a>1, we write

    Pa(μ)=lim supr0(supxsuppμμ(B(x,ar))μ(B(x,r))).

    We say that the measure μ satisfies the doubling condition if there exists a>1 such that Pa(μ)<. It is easily seen that the exact value of the parameter a is unimportant:

    Pa(μ)<,for somea>1 if and only ifPa(μ)<, for alla>1.

    Also, we denote by P0(X) the family of finite positive Borel measures on X which satisfy the doubling condition. We can cite classical examples of doubling measures, self-similar measures, and self-conformal ones [50].

    While the definitions of the generalized packing measure and generalized Hausdorff measure are well-known, we have, nevertheless, decided to briefly recall the definitions below. Since we are working in separable metric spaces, the different definitions that appear in the literature may not all agree and for this reason it is useful to state precisely the definition that we are using. In this paper we denote μ=(μ,ν) where μ,νP(X).

    Now we will consider possible generalizations of the definition. Let EX and δ>0, a collection β of constituents is a (centered) δ-cover of E if xE, r<δ for all (x,r)β and E(x,r)βB(x,r). We write

    Hq,tμ,δ(E)=inf{(x,r)βμ(B(x,r))qν(B(x,r))t|βis aδ-cover ofE},Hq,tμ,0(E)=supδ>0Hq,tμ,δ(E)=limδ0Hq,tμ,δ(E),

    with the conventions 0q= for q0 and 0q=0 for q>0. The function Hq,tμ,0 is sub-additive but not increasing. For this, we will use the following modification:

    Hq,tμ(E)=supFEHq,tμ,0(F).

    The function Hq,tμ is a metric outer measure. In addition [16], there exists a unique number dimqμ(E)[,+], such that

    Hq,tμ(E)={ift<dimqμ(E),0ifdimqμ(E)<t.

    We give here a multifractal extension of dimension of measure: We define for ΘP(X),

    dimqμ(Θ)=infE{dimqμ(E);Θ(XE)=0}.

    Remark 2.1. For any sets E,FX, we have

    Hq,tμ,0(EF)Hq,tμ,0(E)+Hq,tμ,0(F)

    and we have the equality if ρ(E,F)>0.

    Remark 2.2. If (X,ρ) is not separable, for small enough δ>0 there is no countable cover by sets of diameter less than δ. So the infinimum in the definition of Hausdorff's outer measure is over the empty set and then it is +. So the limit for δ going to zero is also +. So that for a non-separable set X for any q,tR the Hausdorff measure is Hq,tμ(X)=+ and the Hausdorff dimension of X is +.

    Let EX and δ>0, a collection of constituents π is a δ-packing of E if, and only if, for all (x,r)(x,r)π we have

    ρ(x,x)>r+r (2.1)

    and r<δ, for all (x,r)π. We denote by Υδ(E) the set of all δ-packing of E. Let q,tR and μP(X). We write for E,

    Pq,tμ,δ(E)=sup{iμ(B(xi,ri))qν(B(xi,ri))t;(xi,ri)iΥδ(E)},Pq,tμ,0(E)=infδ>0Pq,tμ,δ(E)=limδ0Pq,tμ,δ(E).

    The function Pq,tμ,0 is increasing but not sub-additive. By applying now the standard construction [55,65,67], we obtain the generalized packing measure defined as follows

    Pq,tμ(E)=inf{i=1Pq,tμ,0(Ei);Ei=1Ei},

    if E= then Pq,tμ()=0. The function Pq,tμ is of course a multifractal generalization of the packing measure Pt [36,56]. In addition [16], there exists a unique number Dimqμ(E)[,+], such that

    Pq,tμ(E)={ift<Dimqμ(E),0ifDimqμ(E)<t.

    We give the multifractal extension of dimension of measure: For ΘP(X), we define

    Dimqμ(Θ)=infE{Dimqμ(E);Θ(XE)=0}.

    Note that a δ-packing π of a set E may be interpreted in Euclidean space as: B(x,r)B(x,r)= for all (x,r)(x,r)π. Since this is not the case in general metric space, we may consider a new generalized measure. A collection of constituents π is a δ-relative-packing of E if, and only if, for all (x,r)(x,r)π we have

    B(x,r)B(x,r)= (2.2)

    and r<δ, for all (x,r)π. We denote by ˜Υδ(E) the set of all δ-relative-packing of E. Let q,tR, and μ,νP(X). We write for E,

    Rq,tμ,δ(E)=sup{iμ(B(xi,ri))qν(B(xi,ri))t;(xi,ri)i˜Υδ(E)},Rq,tμ,0(E)=infδ>0Rq,tμ,δ(E)=limδ0Rq,tμ,δ(E).

    The function Rq,tμ,0 is increasing but not sub-additive. Similarly, by applying a standard construction, we obtain the generalized relative-packing measure defined by

    Rq,tμ(E)=inf{i=1Rq,tμ,0(Ei);Ei=1Ei},

    if E= then Rq,tμ()=0. The function Rq,tμ is a generalization of the (b)-packing measure introduced in [25]. We can also relax the condition on ball relative-packings, and consider families of balls centered in E such that the intersection of any two of them contains no point xi. More precisely, (xi,ri)i, xiE and ri>0, is a δ-weak-packing of E if and only if, for all i,j=1,2,, we have

    ijρ(xi,xj)>max(ri,rj)

    and ri<δ. We denote by ˜˜Υδ(E) the set of all δ-weak-packing of E. Similarly, the weak-packing h-measure Wq,tμ is defined by

    Wq,tμ,δ(E)=sup{iμ(B(xi,ri))qν(B(xi,ri))t;(xi,ri)i˜˜Υδ(E)},Wq,tμ,0(E)=infδ>0Wq,tμ,δ(E)=limδ0Wq,tμ,δ(E),Wq,tμ(E)=inf{i=1Wq,tμ,0(Ei);Ei=1Ei}

    if E and Wq,tμ()=0. The function Wq,tμ is a generalization of the weak-packing measure Wt [33].

    Remark 2.3. It is clear that in Euclidean space we have Rq,tμ=Pq,tμWq,tμ, but in a general metric space, we only have: every packing is a relative-packing, and every relative-packing is a weak-packing which implies that

    Pq,tμRq,tμWq,tμ.

    In the next proposition, we will prove that the three definitions agree within a constant γ provided that μ,νP0(X). Nevertheless, this doubling assumption on μ and ν does not matter under a suitable condition on X (see Section 5.3).

    Proposition 2.4. Let μ,νP0(X) and q,tR. Then, there exists a constant γ such that

    Wq,tμγPq,tμ. (2.3)

    Proof. If (xi,ri) is a δ-weak-packing of E then (xi,ri/2) is a δ-packing of E and we get the right side of the inequality (2.3) since μ,νP0(X).

    Remark 2.5. If μ coincides with ν and is equal to the Lebesgue measure then the multifractal measures reduce to the classical measures introduced in [23].

    We will prove, in this short section, that the generalized fractal measures are regular, that is, for any subset EX, there exists a Borel subset B such that

    EB and Γ(E)=Γ(B),

    where Γ{Wq,tμ,Pq,tμ,Hq,tμ}. In the following proposition, we give the result for Pq,tμ and Wq,tμ. This is done by proving, for all EX, the closure theorem, that is, Pq,tμ,0(E)=Pq,tμ,0(¯E) and Wq,tμ,0(E)=Wq,tμ,0(¯E), where ¯E is the closure of E. The closure theorem may fail when we consider the relative packing measure [23,Example 5.18].

    Proposition 2.6. Let μ,νP(X) and q,tR. Then Wq,tμ and Pq,tμ are regular measures on X.

    Proof. First we claim that for any set EX we have

    Wq,tμ(E)=inf{i=1Wq,tμ,0(¯Ei);Ei=1Ei}. (2.4)

    Therefore, for any positive integer n, we may choose sets {Eni}i such that Ei=1Eni and

    iWq,tμ,0(¯Eni)Wq,tμ(E)+1n.

    Put B=ni¯Eni, then the set B is Borel with EB. In addition, for any integer n we have

    Wq,tμ(E)Wq,tμ(B)Wq,tμ(i¯Eni)iWq,tμ(¯Eni)Wq,tμ(E)+1n.

    Now, we will prove (2.4), for this, we only have to prove that Wq,tμ,0(E)=Wq,tμ,0(¯E). Since the function Wq,tμ,0 is monotonic, we need only prove that

    Wq,tμ,0(E)Wq,tμ,0(¯E).

    Let ϵ>0, δ>0 and consider π={(xi,ri)} to be a δ-weak-packing of ¯E. For each i, by continuity we can choose ηi>0 and yiE such that ρ(yi,xi)<ηi. It follows that {(yi,ri12ηi)} is a δ-weak-packing of E. We want ηi<ri as well. Then

    μ(B(xi,ri))qν(B(xi,ri))tϵ2iμ(B(yi,ri12ηi))qν(B(yi,ri12ηi))t

    and so

    iμ(B(xi,ri))qν(B(xi,ri))tiμ(B(yi,ri12ηi))qν(B(yi,ri12ηi))t+ϵWq,tμ,δ+ϵ.

    Hence Wq,tμ,δ(¯E)Wq,tμ,δ(E)+ϵ. Letting ϵ and δ to 0 to get the desire result.

    Remark 2.7. As a standard consequence of the regularity, we have

    ifEnEthenWq,tμ(En)Wq,tμ(E).

    The following result proves that Hq,tμ is Borel regular measure. This is done by the construction of new multifractal fractal measure ˜Hq,tμ, in a similar manner to Hq,tμ but using the class of all covering balls in the definition rather than the class of all centered balls. The idea is to prove that ˜Hq,tμ is regular and ˜Hq,tμ is comparable to Hq,tμ. This result has been studied in [20].

    Theorem 2.8. [20] Let μ,νP0(X) and q,tR. Then Hq,tμ is regular. Moreover, if q,t0, then this measure is regular even without doubling condition on μ and ν.

    We will prove that the generalized Hausdorff, packing and weak-packing measures can be expressed as Henstock-Thomas "variation" measures. Note that these measures have been introduced in [61] in Euclidean space, but here we will define the "variation" measures in general metric space.

    Let EX and β is a collection of constituents such that xE for each (x,r)β. Recall that β is said to be fine cover of E if, for every xE and every δ>0, there exists r>0 such that r<δ and (x,r)β.

    Lemma 3.1. [23,Theorem 3.1] Let X be a metric space, EX and β be a fine cover of E. Then there exists either

    1. an infinite packing {(xi,ri)}β of E such that infri>0, \\ or

    2. a countable closed ball packing {(xi,ri)}β such that for all nN,

    Eni=1¯B(xi,ri)i=n+1¯B(xi,3ri).

    Definition 2. Let μ,νP(X) and q,tR. If β is a fine cover of E, we define

    Hq,tβ,μ(E)=sup{(x,r)πμ(B(x,r))qν(B(x,r))t},

    where the supremum is over all (closed balls) packing with πβ, that is ρ(x,x)>r+r for all (x,r),(x,r)π with (x,r)(x,r). The fine variation on E is defined by

    Hq,tμ(E)=inf{Hq,tβ,μ(E):β is a fine cover of E}

    and Hq,tμ()=0.

    Definition 3. Let EX, π be a collection of constituents and Δ be a gauge function for E, that is a function Δ:E(0,). π is said to be Δ-fine if r<Δ(x) for all (x,r)π.

    Let Δ be a gauge function for a set EX. We write,

    Wq,tΔ,μ(E)=sup{(x,r)πμ(B(x,r))qν(B(x,r))t},

    where the supremum is over all Δ-fine weak-packings π of E. As Δ decreases pointwise, the value Wq,hΔ,μ(E) decreases. For the limit, we write

    Wq,t,μ(E)=infΔWq,tΔ,μ(E),

    where the infimum is over all gauges Δ for E. Similarly, we define

    Pq,t,μ(E)=infΔPq,tΔ,μ(E),

    where we use in the definition of Pq,tΔ,μ the Δ-fine packings.

    Proposition 3.2. Let μ,νP(X) and q,tR. Then Hq,tμ, Wq,t,μ and Pq,t,μ are metric outer measures on X and then they are measures on the Borel algebra.

    Proof. See Propositions 3.11 and 3.15 in [23].

    The measure Hq,tμ is absolutely continuous with respect to Hq,tμ and we write Hq,tμHq,tμ, that is, Hq,tμ=0 for every Borel set with Hq,tμ(E)=0. More precisely, we have the following lemma which generalize Lemma 2.3 in [15] in Euclidean space.

    Lemma 3.3. Let μ,νP(X), q,tR and E a Borel subset of X. Assume that Hq,tμ(E)=0 then Hq,tμ(E)=0.

    Proof. Let ϵ>0, since for each positive integer n we have Hq,tμ,1/n=0, then we can find a centered cover (xin,rin)i of E such that rin1/n and

    iμ(B(xin,rin))qν(B(xin,rin))tϵ2n.

    Now, for each n and i, we consider

    βin:={(y,rin):ρ(y,xin)rin}

    and put β=i,nβin. Then β is a fine cover of E. Let πβ be a packing. Since all elements of βin contain xin, there is at most one element of βin in π. Hence,

    (x,r)πμ(B(x,r))qν(B(x,r))tniμ(B(xin,rin))qν(B(xin,rin))tnϵ2n=ϵ.

    Taking the supremum over all packings πβ gives Hq,tμ(E)Hq,tβ,μ(E)ϵ, and so Hq,tμ(E)=0.

    In the next, we will prove that the fine variation Hq,tμ can be compared to the multifractal Hausdorff measure measure Hq,tμ. Note that, we do not make any assumption on μ or ν. First, we give the following definition.

    Definition 4. For xX, q,tR, and μ,ν,ΘP(X). The lower and upper (q,t)-density of Θ with respect to μ and ν at xsuppμsuppν, are defined respectively as follows

    D_q,tμ(x,Θ)=lim infr0Θ(B(x,r))μ(B(x,r))qν(B(x,r))t (3.1)

    and

    ¯Dq,tμ(x,Θ)=lim supr0Θ(B(x,r))μ(B(x,r))qν(B(x,r)t. (3.2)

    If D_q,tμ(x,Θ)=¯Dq,tμ(x,Θ) we denote Dq,tμ(x,Θ) the commune value. The main densities result in this section (Theorem 3.7 and 3.9) links the quantities Θ(E) and the generalized fractal measures via the lower or upper q-density of μ and ν. This connection, is made through the use of certain vitali property of Θ.

    Proposition 3.4. For all Borel sets EX, we have Hq,tμ(E)Hq,tμ(E).

    Proof. We may clearly assume that Hq,tμ(E)<. Fix a>1 and let Θ denote the restriction of Hq,tμ to E, i.e., Θ(A)=Hq,tμ(AE), for all AX. Write

    F={xE,¯Dq,tμ(x,Θ)a3}andG={xE,¯Dq,tμ(x,Θ)>a3},

    where ¯Dq,tμ(x,Θ) is defined in (3.2). First consider the set F, we will prove that Hq,tμ(F)=0. For nN, we set

    Fn={xF,Θ(B(x,r))μ(B(x,r))qν(B(x,r))t<a2,for allr<1/n}.

    In the next, we will prove that Hq,tμ(Fn)=0. Let δ<1/n and β be a δ-cover of Fn, then

    (x,r)βμ(B(x,r))qν(B(x,r))ta2(x,r)βΘ(B(x,r))a2Θ((x,r)βB(x,r))a2ν(Fn)=a2Hq,tμ(Fn).

    Hence Hq,tμ,δ(Fn)a2Hq,tμ(Fn), which implies that

    Hq,tμ(Fn)Hq,tμ,0(Fn)a2Hq,tμ(Fn).

    Now, since a>1 and Hq,tμ(Fn)Hq,tμ(E)<, we have Hq,tμ(Fn)=0. Finally, since FnF, this implies that Hq,tμ(F)=0 and therefore, by Lemma 3.3 we have Hq,tμ(F)=0.

    Next, we consider the set G, we will prove that

    Hq,tμ(G)a4Hq,tμ(E). (3.3)

    Since a4<a3, the set

    β={(x,r):xG,Θ(B(x,r))μ(B(x,r))qν(B(x,r))t>a4}

    is a fine cover of G. Let πβ be a packing, then

    (x,r)πμ(B(x,r))qν(B(x,r))ta4(x,r)πΘ(B(x,r))=a4Θ((x,r)πB(x,r))=a4Hq,tμ((x,r)πB(x,r)E)a4Hq,tμ(E).

    Since this is true for all packing π, we conclude that Hq,tβ,μ(G)a4Hq,tμ(E), which implies (3.3).

    Finally, we have

    Hq,tμ(E)Hq,tμ(F)+Hq,tμ(G)0+a4Hq,tμ(E).

    Taking the infimum over all countable a>1 to obtain Hq,tμ(E)Hq,tμ(E).

    Identifying the generalized packing (or weak-packing) measure with the full variation does not require any assumptions (such as doubling condition or Vitali property) but to get the equality Hq,tμ=Hq,tμ, extra assumption is needed.

    Theorem 3.5. Let q,tR and μ,νP(X). Then for all Borel sets EX, we have

    1. Wq,t,μ(E)=Wq,tμ(E)andPq,t,μ(E)=Pq,tμ(E).

    2. If μ, νP0(X) then Hq,tμ(E)=Hq,tμ(E).

    Proof.

    1. We will only prove the first equality and the other is similar. Let EX and δ>0. Then, the constant function Δ(x)=δ is a gauge for E. Therefore,

    Wq,tμ,0(E)=infδ>0Wq,tμ,δ(E)Wq,t,μ(E).

    If E=nEn then, since Wq,t,μ is an outer measure, we have

    Wq,t,μ(E)n=1Wq,t,μ(En)n=1Wq,tμ,0(En).

    Since, this is true for all countable covers of E, we get

    Wq,tμ(E)Wq,t,μ(E).

    Now we will prove Wq,t,μ(E)Wq,tμ(E). Let Δ be a gauge on a set E and consider, for each positive integer n, the set

    En={xE;Δ(x)1n}.

    For each n,

    Wq,tΔ,μ(E)Wq,tΔ,μ(En)Wq,tμ,1/n(En)Wq,tμ,0(En)Wq,tμ(En).

    Since EnE and Wq,tμ is regular, then, by taking the limit as n, we get Wq,tΔ,μ(E)Wq,tμ(E). This is true for all gauges Δ, so Wq,t,μ(E)Wq,tμ(E).

    2. By using Proposition 3.4, it suffices to prove Hq,tμ(E)Hq,tμ(E). We may clearly assume that Hq,tμ(E)<. Let β be a fine cover of E such that Hq,tβ,μ(E)<. Let δ>0, then

    β1={(x,r)β:r<δ/3}

    is a fine cover of E. Therefore, using Lemma 3.1, we can find a packing {(xn,rn)}β such that

    Eni=1¯B(xi,ri)i=n+1¯B(xi,3ri).

    Note that lim supnrn>0 is impossible, since

    iμ(B(xi,ri))qν(B(xi,ri))tHq,tβ,μ(E)<.

    Now, since the measures μ and ν are right-continuous at each ri, we let ξ>1, and choose ri>ri so that ri<δ/3 and

    iμ(B(xi,ri))qν(B(xi,ri))t<ξiμ(B(xi,ri))qν(B(xi,ri))t.

    Thus we get open covers

    Eni=1B(xi,ri)i=n+1B(xi,3ri). (3.4)

    Then there exists a constants C1 and C2 such that

    iμ(B(xi,3ri))qν(B(xi,3ri))t{C1C2iμ(B(xi,ri))qν(B(xi,ri))t;q,t>0andμ,νP0(X)iμ(B(xi,ri))qν(B(xi,ri))t;q,t0.C2iμ(B(x,ri))qν(B(xi,ri))t;q0,t>0andνP0(X)C1iμ(B(x,ri))qν(B(xi,ri))t;q>0,t0andμP0(X).

    Thus, we have iμ(B(xi,3ri))qν(B(xi,3ri))t< and, by using (3.4), we get

    Hq,tμ,δ(E)ni=1μ(B(xi,ri))qν(B(xi,ri))t+i=n+1μ(B(xi,3ri)qν(B(x,3ri))t.

    Then, for ϵ>0, we can choose n big enough so that we have

    Hq,tμ,δ(E)ni=1μ(B(xi,ri))qν(B(xi,ri))t+ϵ

    and then

    Hq,tμ,δ(E)ϵ+i=1μ(B(xi,ri))qν(B(xi,ri))tϵ+ξHq,tβ,μ(E).

    Let ξ1, δ0 and ϵ0 to get Hq,tμ,0(E)Hq,tβ,μ(E). Now, by take the infimum over all fine cover β we get Hq,tμ,0(E)Hq,tμ(E). Take the supremum of this over all subsets to obtain the desire result.

    In Euclidean space Rd, using the definition, there exists a constant ξ such that Hq,tμξPq,tμ. Moreover, we have Hq,tμPq,tμ provide that μP0(Rd) [7,16]. See also for q=0, in Euclidean space [56,Lemma 3.3] or in general metric space [17,Theorem 3.11]. As an applications of Theorem 3.5, we will establish the following results.

    Theorem 3.6. Let μ,νP(X) and q,tR then Hq,tμPq,tμ. In particular if μ,νP0(X) then, for all Borel sets EX, we have

    Hq,tμ(E)Pq,tμ(E).

    Proof. According to Theorem 3.5 we will prove Hq,tμ(E)Pq,t,μ(E) for all set EX. We consider a gauge function Δ on E and β={(x,r);r<Δ(x)}. β is a fine cover of E then, for any packing πβ, we have

    (x,r)πμ(B(x,r))qν(B(x,r))tPq,tΔ,μ(E).

    Therefore, by taking the supremum on π, we get Hq,tμ(E)Hq,tβ,μ(E)Pq,tΔ,μ(E). Take the infinmum on Δ to get the desire result.

    In the following, we establish a new version of the density theorem with respect to the generalized packing and weak-packing measures.

    Theorem 3.7. Let (X,ρ) be a metric space, q,tR, μ,ν,ΘP(X), and E be a Borel subset of suppμsuppν.

    1. We have

    Pq,tμ(E)infxED_qμ(x,Θ)Θ(E), (3.5)

    where we take the lefthand side to be 0 if one of the factors is zero.

    2. If Θ has the weak-Vitali property, then

    Θ(E)Wq,tμ(E)supxED_q,tμ(x,Θ), (3.6)

    where we take the righthand side to be if one of the factors is .

    3. Assume that μ and νP0(X), then there exists a constant C>0 such that

    Θ(E)CPq,tμ(E)supxED_q,tμ(x,Θ), (3.7)

    where we take the righthand side to be if one of the factors is .

    Proof.

    1. We begin with the proof of (3.5). Assume that infxED_q,tμ(x,Θ)>0. Choose γ such that 0<γ<D_q,tμ(x,Θ) for all xE. Let ε>0 be given. Then there is an open set V such that EV and Θ(V)<Θ(E)+ε. For xE, let Δ(x)>0 be so small such that

    Θ(B(x,r))μ(B(x,r))qν(B(x,r))t>γ

    for all r<Δ(x) and Δ(x)<dis(x,XV). Then Δ is a gauge for E. Now, consider π to be a Δ-fine packing of E. Then (x,r)πB(x,r) is contained in V and

    (x,r)πμ(B(x,r))qν(B(x,r))t<1γπΘ(B(x,r))1γΘ(V).

    This shows that

    Pq,tμ(E)Pq,tΔ,μ(E)1γΘ(V)1γ(Θ(E)+ε).

    Let ε0 to obtain γPq,tμ(E)Θ(E). Since γ is arbitrarily close to D_q,tμ(x,Θ) we get the desired result.

    2. Suppose that ν has the weak-Vitali property and we will prove (3.6). For this, we may assume that supxED_q,tμ(x,Θ)<. Let Δ be a gauge on E and γ< such that D_q,tμ(x,Θ)<γ for all xE. Then

    β={(x,r);xE,r<Δ(x)andΘ(B(x,r))μ(B(x,r))qν(B(x,r))tγ}

    is a fine cover of E. By the weak-Vitali property, there is a weak-packing πβ of E such that

    Θ(E(x,r)πB(x,r))=0.

    Therefore,

    Θ(E)=Θ(E(x,r)πB(x,r))(x,r)πΘ(B(x,r))γ(x,r)πμ(B(x,r))qν(B(x,r))t.

    Thus Θ(E)γWq,tΔ,μ(E) and, by arbitrariness of Δ, we obtain Θ(E)γWq,tμ(E). Since γ is arbitrarily close to D_q,tμ(x,Θ) we get the desired result.

    3. Since μ and νP0(X), then, for small r, there exists two positive constants C1 and C2 such that

    μ(B(x,3r))C1μ(B(x,r)) andν(B(x,3r))C2ν(B(x,r)).

    Assume that supxED_q,tμ(x,Θ)<. Let Δ be a gauge on E and γ< such that D_q,tμ(x,Θ)<γ for all xE. We must show that, there exists a constant C such that Θ(E)γCPq,tμ(E), for this, we must show that Θ(E)γCPq,tΔ,μ(E). We assume that Pq,tΔ,μ(E)< and we consider the set

    β={(x,r);xE,r<Δ(x)andΘ(B(x,3r))μ(B(x,3r))qν(B(x,3r))tγ}.

    Since β is a fine cover of E and Pq,tΔ,μ(E)<, it follows from Lemma 3.1 that there exists a packing {(xi,ri)}iβ such that

    Ei=1B(xi,3ri).

    We remark that lim supnrn>0 is impossible, since iμ(B(xi,ri))qν(B(xi,ri))t<. Hence, if μ,νP0(X) then

    Θ(E)iΘ(B(xi,3ri))γiμ(B(xi,3ri))qν(B(xi,3ri))tγ{C1C2iμ(B(xi,ri))qν(B(xi,ri))t;q,t>0andμ,νP0(X)iμ(B(xi,ri))qν(B(xi,ri))t;q,t0.C2iμ(B(xi,ri))qν(B(xi,ri))t;q0,t>0andνP0(X)C1iμ(B(xi,ri))qν(B(xi,ri))t;q>0,t0andμP0(X).

    Take C=max(1,C1,C2,C1C2) to get

    Θ(E)γCiμ(B(xi,ri))qμ(B(xi,ri))t.

    Thus Θ(E)γCPq,tΔ,μ(E). Since γ is arbitrarily close to D_q,tμ(x,Θ) we get the desired result.

    Remark 3.8.

    1. If μ,νP0(X) then there exists a constant γ>0 such that

    Wq,tμ(E)infxED_q,tμ(x,Θ)γΘ(E), (3.8)

    where we take the left hand side in (3.8) to be 0 if one of the factors is zero.

    2. Similarly, if Θ has the strong-Vitali property, then

    Θ(E)Pq,tμ(E)supxED_q,tμ(x,Θ), (3.9)

    where we take the righthand side in (3.9) to be if one of the factors is .

    Now, using the generalized Hausdorff measure in terms of variation measure, we give a new version of the density theorem.

    Theorem 3.9. Let q,tR, μ,νP(X) and E be a Borel subset of suppμsuppν.

    1. Then

    Hq,tμ(E)infxE¯Dq,tμ(x,Θ)Θ(E). (3.10)

    2. Assume that Θ has the strong Vitali property. Then

    Θ(E)Hq,tμ(E)supxE¯Dq,tμ(x,Θ). (3.11)

    except when the product is 0 times .

    3. Assume that μ,νP0(X). Then

    Θ(E)Hq,tμ(E)supxE¯Dq,tμ(x,Θ).

    except when the product is 0 times .

    Proof.

    1. Let a:=infxE¯Dq,tμ(x,Θ). If a=0 there is nothing to prove, so we may assume that a>0. Let γ be a constant and V be an open set such that infxE¯Dq,tμ(x,Θ)>γ>0 and EV. It follows that

    β={(x,r),xE,;Θ(B(x,r))μ(B(x,r))qν(B(x,r))t>γ,0<r<dist(x,XV)}

    is a fine cover of E. Therefore, for any packing πβ we have

    (x,r)πμ(B(x,r))qν(B(x,r))t<1γ(x,r)πΘ(B(x,r))=1γΘ((x,r)πB(x,r))1γΘ(V).

    Take the supremum on π to obtain

    Hq,tμ(E)Hq,tβ,μ(E)1γΘ(V).

    Finally, since γ is arbitrarily less then a, we get the desire result by taking the infimum on V. Clearly we may assume that supxE¯Dq,tμ(x,Θ)<. Let γ be a constant such that supxE¯Dq,tμ(x,Θ)<γ. For a fine cover β of E we set

    β1={(x,r)β;Θ(B(x,r))μ(B(x,r))qν(B(x,r))t<γ}

    is also a fine cover of E. Therefore, under our assumption, there exists a packing πβ1 such that Θ(EπB(x,r))=0. Thus,

    Hq,tβ,μ(E)(x,r)πμ(B(x,r))qν(B(x,r))t>1γ(x,r)πΘ(B(x,r))1γΘ((x,r)πB(x,r))1γΘ(E).

    This holds for all β so Θ(E)γHq,tμ. Since, γ is arbitrarily close to supxE¯Dq,tμ(x,Θ), we get the desire result.

    3. We only have to prove

    Θ(E)Hq,tμ(E)supxE¯Dq,tμ(x,Θ).

    Indeed, by Theorem 3.5, we have in this case Hq,tμ(E)=Hq,tμ(E). Clearly we may assume that ¯Dq,tμ(x,Θ)<, for all xE. let γ be a constant such that supxE¯Dq,tμ(x,Θ)<γ. For each integer nN, we set

    En={xE;Θ(B(x,r))μ(B(x,r))qν(B(x,r))t<γfor all r<1n}.

    We consider, for each n, a δ-cover βn of En, where δ<1n. Therefore,

    (x,r)βnμ(B(x,r))qν(B(x,r))t1γ(x,r)βnΘ(B(x,r))1γΘ((x,r)βnB(x,r))1γΘ(En)

    and so Θ(En)γHq,tμ,δ(En). Therefore

    Θ(En)γHq,tμ,0(En)γHq,tμ(E).

    Since EnE, then letting n we get Θ(E)γHq,tμ(E). It follows from γ is arbitrarily large that

    Θ(E)Hq,tμ(E)supxE¯Dq,tμ(x,Θ).

    and then we get the desire result.

    In this section, we concentrate on the properties of the generalized fractal measures on a class of Moran fractal set. In particular, we give sufficient condition so that these measures are equivalent on these sets satisfying the strong separation condition. We will start by defining the Moran sets. Let {nk}k and {Φk}k1 be respectively two sequences of positive integers and positive vectors such that

    Φk=(ck1,ck2,,cknk),nkj=1ckj1,kN. (4.1)

    For any m,kN, such that mk, let

    Dm,k={(im,im+1,,ik)|1ijnj,mjk}

    and

    Dk=D1,k={(i1,i2,,ik)|1ijnj,1jk}.

    We also set D0= and D=k0Dk, Considering σ=(i1,i2,,ik)Dk, τ=(jk+1,jk+2,,jm)Dk+1,m, we set

    στ=(i1,i2,,ik,jk+1,jk+2,,jm).

    Definition 5. [2,18] Let X be a complete metric space and IX a compact set with no empty interior (for convenience, we assume that the diameter of I is 1). The collection F={Iσ|σD} of subsets of I is called having Moran structure if

    1. for any (i1,i2,,ik)Dk, Ii1i2ik is similar to I. That is, there exists a similar transformation

    Si1i2ik:XXIIi1i2ik,

    where we assume that I=I.

    2. For all k1, (i1,i2,,ik1)Dk1, Ii1i2ik(ik{1,2,,nk}) are subsets of Ii1i2ik1 and

    Ii1i2ik1,ikIi1i2ik1,ik=,1ik<iknk,

    where I denotes the interior of I.

    3. For all k1 and 1jnk, taking (i1,i2,,ik1,j)Dk, we have

    0<ckj=ci1i2ik1j=|Ii1i2ik1j||Ii1i2ik1|<1,k2,

    where |I| denotes the diameter of I.

    Suppose that F is a collection of subsets of I having Moran structure. We call E=k1σDkIσ, a Moran set determined by F, and called Fk={Iσ,σDk} the k-order fundamental sets of E. I is called the original set of E. We assume limk+maxσDk|Iσ|=0. For all w=(i1,i2,ik,)D, we use the abbreviation w|k for the first k elements of the sequence,

    Ik(w)=Iw|k=Ii1i2ik,andcn(w)=ci1i2in. (4.2)

    We assume that E witch satisfy the strong separation condition (SSC): Let Iσ1,Iσ2,,Iσnk+1 be the (k+1)-order fundamental subsets of IσF. We say that Iσ satisfies the (SSC) if dist(Iσi,Iσj)δk|Iσ|, for all ij, where (δk)k is a sequence of positive real numbers, such that 0<δ=infkδk<1.

    If ck,1=ck,2=,=ck,nk=ck for all k1 then E is said to be homogeneous Moran set. Let xE and Iσ(x) the unique fundamental subset of level k containing x (σDk). It is clear that |Iσ(x)|=kj=1cj which implies that Iσ(x)B(x,r), where kj=1cj<rk1j=1cj. In the other hand, let

    N(x,r)={σDk1,IσB(x,r)}.

    Clearly N(x,r)2 and

    σN(x,r)Iσ(x)B(x,r+c1ck1)B(x,2c1ck1). (4.3)

    Definition 6. We say that two Borel measures μ and ν are equivalent and we write μν if for any Borel set A, we have μ(A)=0ν(A)=0.

    Through this section, we consider EI to be a Moran set satisfying (SSC), μ and ν be two Borel probability measures on X and ΘP(X) such that suppΘE. For wD, we set

    D_q,tμ(w,Θ):=lim infn+Θ(In(w))μ(In(w))qν(In(w))tand¯Dq,tμ(w,Θ):=lim supn+Θ(In(w))μ(In(w))qν(In(w))t.

    Proposition 4.1. Assume that μ,νP0(X) or Θ has the strong-Vitali property.

    1. Suppose that there exists α, such that

    D_q,tμ(w,Θ)={0ift<α,ift>α,foranywD,

    then Dimqμ(E)=α=Dimqμ(Θ).

    2. Suppose that for all wD we have 0<D_q,αμ(w,Θ)<, then,

    ΘEPq,αμE,

    where ΘE designates the measure Θ restricted to E.

    Proof. The proof can be deduced from (3.9), Theorem 3.7 and [2,Theorem 5].

    Remark 4.2.

    1. If X is the Euclidean space Rd, then every finite Borel measure has the strong-Vitali property and then Proposition 4.3 is Theorem 5 in [2].

    2. It follows from (2.3), if μ,νP0(X), then 0<D_q,αμ(w,Θ)< which implies that θEWq,αμE.

    Proposition 4.3. Assume that μ,νP0(X) or Θ has the strong-Vitali property.

    1. Suppose that there exists α, such that

    ¯Dq,tμ(w,Θ)={0ift<α,ift>α,foranywD,

    then dimqμ(E)=α=dimqμ(Θ).

    2. Suppose that for all wD we have 0<¯Dq,αμ(w,Θ)<, then

    ΘEHq,αμE.

    Proof. The proof can be deduced from Theorem 3.9 and [2,Theorem 6].

    Remark 4.4. It follows from Theorem (3.5), if μ,νP0(X), then 0<¯Dq,αμ(w,Θ)< which implies that ΘEHq,αμE.

    Example 4.5. We set, for all k1, the number sk which satisfies

    ki=1nij=1cskij=1 (4.4)

    and write

    s=lim infkskands=lim supksk.

    Assume that c:=infk,j{ckj}>0. Now, consider X=[0,1] and define a measure Θ on X such that Θ(X)=1 and

    Θ(Iσi)=cskinkj=1cskjΘ(Iσ),1inkandσDk,

    where s:=limksk(0,1). It follows that

    Θ(Iσ):=cs1σ1cs2σ2cskσkki=1nij=1csij=|Iσ|ski=1nij=1csij.

    It follows from (4.4) that

    |logki=1nij=1csij|=|logki=1nij=1csijlogki=1nij=1cskij|ki=1|lognij=1csijlognij=1cskij|ki=1|logc||sks|=k|logc||sks|.

    Hence, using the fact that |Iσ|k|log(1c) and (4.1), we obtain

    logki=1nij=1csij|logIσ|sk|logc||sks|k|log(1c)|=|logc||log(1c)||sks|0.

    Therefore,

    limklogΘ(Iσ)log|Iσ|=s

    uniformly on σ. As a consequence there exists a non-increasing function ξ:NR such that limkξ(k)=0 and for any basis interval Iσ, we have

    |Iσ|s+ξ(|σ|)Θ(Iσ)|Iσ|sξ(|σ|).

    Let μ=ν be the Lebesgue measure on [0,1] then, for all wD, we have

    limn+Θ(Iσ)μ(Iσ)qν(Iσ)t=limn+Θ(Iσ)|Iσ|q+t={0 ift<s+q, ift>s+q.

    In particular, for q=0, the classical Hausdorff and packing measures Hα and Pα satisfy

    ΘEHsEPsE.

    In this section, we will study the extensions of the following product inequalities for the Hausdorff measure Ht and the packing measure Pt in Euclidean space. Fix s,t0 and E,F be two Borel sets in Rd, then there exists a number c>0 such that

    Hs(E)Ht(F)cHs+t(E×F), (5.1)
    Ps+t(E×F)cPs(E)Pt(F). (5.2)

    Inequality (5.1) was shown in [14] under certain conditions and later in [45] without any restrictions. Inequality (5.2) is proved in [35] (see also [1,4,29,62] for more investigation of product inequalities for fractal measure). Using the density approach, we will study the generalized Hausdorff and packing measures of Cartesian product sets. The disadvantage of this approach includes the inability to handle sets of measure . Moreover, we will give a necessary and sufficient condition to obtain strong regular and very strong regular sets. Recall that if we let EX be a Borel set, we say that E is strongly regular if Hq,tμ(E)=Pq,tμ(E)(0,) and very strongly regular if Hq,tμ(E)=Wq,tμ(E)(0,). Finally, we give an application of Theorem 3.5.

    Let (X,ρ) and (Y,ρ) be two separable metric spaces. Assume that X×Y is endowed with a metric which is the Cartesian product of the metrics in X and Y, so that for all ε>0, xX and yY, we have

    B((x,y),ε)=B(x,ε)×B(y,ε).

    Before giving our first main result in this section, we will start with two useful corollaries of Theorem 3.7.

    Corollary 5.1. Let (X,ρ) be a metric space, q,tR, μ,νP(X) and E be a Borel subset of suppμsuppν.

    1. If there exists ΘP(X) such that infxED_q,tμ(x,Θ)=γ>0 then

    Pq,tμ(E)Θ(E)/γ.

    2. If there exists ΘP(X) such that supxED_q,tμ(x,Θ) =γ<+ and has the weak-Vitali property then

    Wq,tμ(E)Θ(E)/γ.

    3. Assume that μ,νP0(X). If there exists ΘP(X) such that supxED_q,tμ(x,Θ)=γ<+ then

    Pq,tμ(E)Θ(E)/γC.

    For a Borel set EX we denote by Pq,tμE the measure Pq,tμ restricted to E. We can deduce also the following result.

    Corollary 5.2. Let (X,ρ) be a separable metric space, q,tR, μ,νP(X) and E be a Borel subset of suppμsuppν such that Pq,tμ(E)<. Let Θ=Pq,tμE.

    1. For Pq,tμ-a.a. xE, we have D_q,tμ(x,Θ)1.

    2. If Θ has the strong-Vitali property, then

    D_q,tμ(x,Θ)=1,Pq,tμ-a.a. onE.

    3. Assume that μP0(X), then

    1/CD_q,tμ(x,Θ)1,Pq,tμa.a. onE,

    where C is the constant defined in (3.7).

    Proof. 1. Put the set F={xE;D_q,tμ(x,Θ)>1}, and for mN

    Fm={xE;D_q,tμ(x,Θ)>1+1m}.

    Therefore infxFmD_q,tμ(x,Θ)1+1m. We deduce from (3.5) that

    (1+1m)Pq,tμ(Fm)Θ(Fm)=Pq,tμ(Fm).

    This implies that Pq,tμ(Fm)=0. Since F=mFm, we obtain Pq,tμ(F)=0, i.e.

    D_q,tμ(x,Θ)1forPq,tμ-a.a.xE. (5.3)

    3. Now consider the set ˜F={xE;D_q,tμ(x,Θ)<1}, and for mN

    ˜Fm={xE;D_q,tμ(x,Θ)<11m}.

    Using (3.9), we clearly have

    Θ(˜Fm)=Pq,tμ(˜Fm)(11m)Pq,tμ(˜Fm).

    This implies that Pq,tμ(˜Fm)=0. Since F=m˜Fm, we obtain Pq,tμ(F)=0, i.e.

    D_q,tμ(x,Θ)1forPq,tμ-a.a.xE. (5.4)

    The statement in (2) now follows from (5.3) and (5.4).

    3. The proof of this statement is very similar to the statement (2) when we use the set

    ˜F={xE;D_q,tμ(x,Θ)<1/C}

    and the inequality (3.7) instead of (3.9).

    For μ=(μ1,ν1)P(X)×P0(X), ν=(μ2,ν2)P0(Y)×P(Y), we define the product of measures μ×ν as follows

    μ×ν=(μ1×μ2,ν1×ν2).

    Our main result in this section is the following.

    Theorem 5.3. Let μ=(μ1,ν1)P0(X)×P0(X), ν=(μ2,ν2)P0(Y)×P0(Y), q,tR. Then, there exists a constant M such that

    Pq,tμ×ν(E×F)MPq,tμ(E)Pq,tν(F) (5.5)

    and

    Wq,tμ×ν(E×F)MWq,tμ(E)Wq,tν(F) (5.6)

    for all Borel EX and FY provided it is true for the "nullset" cases when one of the factors on the right is zero, i.e, Wq,tν(F)=0 or Wq,tμ(E)=0.

    Proof. We will only prove the first inequality, the other inequality is similar. If Pq,tμ(E)= or Pq,tν(F)= there is noting to prove, so assume they are both finite. Let Θ1 be the restriction of Pq,tμ to E and Θ2 be the restriction of Pq,tν to F. Using Corollary 5.2, there exists C1>0 and C2> such that Θ1(E)=Θ1(˜E) and Θ2(F)=Θ2(˜F), where

    ˜E={xE,D_q,tμ(x,Θ1)1/C1}

    and

    ˜F={xF,D_q,tν(x,Θ2)1/C2}.

    Now, the product measure Θ1×Θ2P0(X×Y). For (x,y)˜EטF, we have

    D_q,tμ×ν((x,y),Θ1×Θ2)=lim infr0[Θ1(B(x,r))μ1(B(x,r))qν1(B(x,r))tΘ2(B(y,r))μ2(B(y,r))qν2(B(y,r))t]D_q,tμ(x,Θ1)D_q,tν(y,Θ2)1/(C1C2)>0.

    Therefore, setting M=C1C2 and by Corollary 5.1, we have

    Pq,tμ×ν(˜EטF)MΘ1×Θ2(˜EטF)=MΘ1(˜E)Θ2(˜F)=MΘ1(E)Θ2(F)=MPq,tμ(E)Pq,tν(F).

    By the assumption for the nullset cases, we get the result with E×F.

    Before giving our second main result in this section, we will start with two useful corollaries of Theorem 3.9.

    Corollary 5.4. Let μ,ν,ΘP(X) and EX be a Borel set.

    1. Assume that Hq,tμ(E)< and there exists ΘP(X) such that infxE¯Dq,tμ(x,Θ)=γ>0 then

    Hq,tμ(E)Θ(E)/γ.

    2. If there exists ΘP(X) such that supxE¯Dq,tμ(x,Θ) =γ< and Θ has the strong Vitali property or if μ and νP0(X), then

    Hq,tμ(E)Θ(E)/γ. (5.7)

    Corollary 5.5. Let μ,νP(X), q,tR and E be a Borel subset of suppμsuppν such that Hq,tμ(E)<. Let Θ=Hq,tμE.

    1. For Hq,tμ-a.a. xE, we have ¯Dq,tμ(x,Θ)1.

    2. If Θ has the strong Vitali property or if μ and νP0(X) then ¯Dq,tμ(x,Θ)=1, Hq,tμ-a.a. on E.

    Our second main result in this section is the following.

    Theorem 5.6. Let μ=(μ1,ν1)P0(X)×P0(X), ν=(μ2,ν2)P0(Y)×P0(Y), q,tR. For all Borel EX and FY such that Hq,tμ(E)< and Hq,tν(F)< we have

    Hq,tμ(E)Hq,tν(F)Hq,tμ×ν(E×F).

    Proof. Let Θ1 be the restriction of Hq,tμ to E and Θ2 be the restriction of Hq,tν to F. By using Corollary 5.5, we have Θ1(E)=Θ1(˜E) and Θ2(F)=Θ2(˜F), where

    ˜E={xE,¯Dq,tμ(x,Θ1)1}

    and

    ˜F={xF,¯Dq,tν(x,Θ2)1}.

    Now, the product measure Θ1×Θ2P(X×Y). For (x,y)˜EטF, we have

    ¯Dq,tμ×ν((x,y),Θ1×Θ2)=lim supr0[Θ1(B(x,r))μ1(B(x,r))qν1(B(x,r))tΘ2(B(y,r))μ2(B(y,r))qν2(B(y,r))t]¯Dq,tμ(x,Θ1)¯Dq,tν(y,Θ2)1.

    Therefore, it follows from (5.7) that

    Hq,tμ×ν(E×F)Θ1×Θ2(˜EטF)=Θ1(˜E)Θ2(˜F)=Θ1(E)Θ2(F)=Hq,tμ(E)Hq,tν(F).

    As a direct consequence, we get the following result.

    Corollary 5.7. Let μ=(μ1,ν1)P0(X)×P0(X), ν=(μ2,ν2)P0(Y)×P0(Y) and q,tR. For EX and FY such that Hq,tμ(E)< and Hq,sν(F)< we have

    Hq,tμ(E)Hq,tν(F)Hq,tμ×ν(E×F).

    In this section, we formulate a new version of regularity result developed in [5,15,17,21,22,50,56,58,59]. More precisely, we give a necessary and sufficient condition to get the equality Hq,tμ(E)=Pq,tμ(E). Such a set is called a strong regular. The set E will be called very strong regular if Hq,tμ(E)=Wq,tμ(E). In Theorem 5.9 we will characterize these sets.

    Theorem 5.8. Let μ,νP(X) and E be a Borel subset of suppμsuppν such that Pq,tμ(E)<+. Let Θ1=Hq,tμE and Θ2=Pq,tμE. Assume that Θ1 has the strong-Vitali property, then the following assertions are equivalent

    1. Hq,tμ(E)=Pq,tμ(E).

    2. D_q,tμ(x,Θ1)=1=¯Dq,tμ(x,Θ1) for Pq,tμ-a.a. on E.

    3. D_q,tμ(x,Θ2)=1=¯Dq,tμ(x,Θ2) for Pq,tμ-a.a. on E.

    Proof. (1)(2) Assume that Pq,tμ(E)<. Notice first that (1) is equivalent to

    Hq,tμ(F)=Pq,tμ(F)for anyFE. (5.8)

    Put the set F={xE;¯Dq,tμ(x,Θ1)>1}. Using Corollary 5.5, we have Hq,tμ(F)=0 and so, Pq,tμ(F)=0, i.e.

    ¯Dq,tμ(x,Θ1)1forPq,tμ-a.a.xE. (5.9)

    Now consider the set ˜F={xE;D_q,tμ(x,Θ1)<1}, and for mN

    ˜Fm={xE;D_q,tμ(x,Θ1)<11m}.

    Using (3.9), we clearly have

    Hq,tμ(˜Fm)=Pq,tμ(˜Fm)(11m)Pq,tμ(˜Fm).

    This implies that Pq,tμ(˜Fm)=0. As F=m˜Fm, we obtain Pq,tμ(F)=0, i.e.

    D_q,tμ(x,E)1forPq,tμ-a.a.xE. (5.10)

    The statement in (2) now follows from (5.9) and (5.10).

    (2)(1) Consider the set

    F={xE;D_q,tμ(x,Θ1)=1=¯Dq,tμ(x,Θ1)}.

    It therefore follows from (3.9), and (3.5) and since, D_q,tμ(x,Θ1)=1=¯Dq,tμ(x,Θ1) for Pq,tμ-a.a. xE that

    Hq,tμ(E)Pq,tμ(E)=Pq,tμ(F)Hq,tμ(F)Hq,tμ(E).

    (1)(3) From Corollary 5.2 we have D_q,tμ(x,Θ2)=1 for Pq,tμ-a.a.xE.

    Next, put ˜F={xE;¯Dq,tμ(x,Θ2)>1}, and for mN

    ˜Fm={xE;¯Dq,tμ(x,Θ2)>1+1m}.

    We deduce from (3.10) that,

    (1+1m)Hq,tμ(˜Fm)Hq,tμ(˜Fm)=Pq,tμ(˜Fm).

    This implies that Hq,tμ(˜Fm)=0. Finally, since F=m˜Fm, we get Hq,tμ(F)=Pq,tμ(F)=0, i.e.

    ¯Dq,tμ(x,Θ2)1forPq,tμ-a.a.xE.

    (3)(1) We consider the set

    F={xE;D_q,tμ(x,Θ2)=1=¯Dμq,t(x,Θ2)}.

    Combining (3.10) and (3.11) shows that

    Hq,tμ(E)Pq,tμ(E)=Pq,tμ(F)Hq,tμ(F)Hq,tμ(E),

    which proves the desired result.

    Similarly, we obtain the following theorem

    Theorem 5.9. Let μ,νP(X) and E be a Borel subset of suppμsuppν such that Wq,tμ(E)<+. Let Θ1=Hq,hμE and Θ2=Wq,hμE. Assume that Θ1 has the weak-Vitali property, then the following assertions are equivalent

    1. Hq,tμ(E)=Wq,tμ(E).

    2. D_q,tμ(x,Θ1)=1=¯Dq,tμ(x,Θ1) \; \quad for Wq,tμ-a.a. on E.

    3. D_q,tμ(x,Θ2)=1=¯Dq,tμ(x,Θ2) \quad \; for Wq,tμ-a.a. on E.

    In the following, we will give an application of Theorem 3.5. First, we will prove the inequality (2.3) without any restriction on μ and ν but we will add a suitable assumption on the metric space X. Then, we will modify slightly the construction of the weak-packing measure Wq,tμ to obtain a new fractal measure wq,tμ equal to Pq,tμ. This new measure is obtained by using the class of all weak-packing of a set E such that the intersection of any two balls of them contains no point of E.

    Definition 7. A metric space X is said to be amenable to packing if there exists a constant K such that if π=(xi,ri)i is a weak packing of a set E then π can be rearranged such that for any n, there are at most K1 integers j{1,,n1} such that

    ρ(xn,xj)rn+rj.

    Proposition 5.10. Let μ,νP(X), q,tR and suppose that X is amenable to packing. Then, there exists a constant K such that

    Wq,tμKPq,tμ. (5.11)

    Proof. Let π be a Δ-fine weak packing of E. Since X is amenable to packing, we can distribute the constituents of π into K sequences πi={(xik,rik)kN}π,1iK such that each i we have πi is a Δ-fine packing of E and so

    (x,r)πμ(B(x,r))qν(B(x,r))tKi=1(x,r)πiμ(B(x,r))qν(B(x,r))t.

    From which it follows (5.11) by Theorem 3.5.

    Let EX. (xi,ri)i, xiE and ri>0, is a centered δ-weak-relative-packing of E if and only if, for all i,j=1,2,, we have riδ and for all ij,

    ρ(xi,xj)>max(ri,rj)andB(xi,ri)B(xj,rj)E=.

    Then, the weak-relative-packing measure wq,tμ is defined by

    wq,tμ,δ(E)=sup{iμ(B(xi,ri))qν(B(xi,ri))t},

    where the supremum is taken over all δ-weak-relative-packing of E. We write

    wq,tμ,0(E)=infδ>0wq,tμ,δ(E)=limδ0wq,tμ,δ(E),wq,tμ(E)=inf{i=1wq,tμ,0(Ei);Ei=1Ei}.

    If E and wq,tμ()=0. Similarly, we define

    wq,t,μ(E)=infΔwq,tΔ,μ(E),

    where we use in the definition of wq,tΔ,μ the Δ-fine weak-relative-packings. It is clear that wq,t,μ is a metric outer regular measure. In addition, we have

    wq,t,μ(E)=wq,tμ(E),

    for all EX.

    Theorem 5.11. For any EX, μ,νP(X) and q,tR. Assume that X is amenable to packing and every finite Borel measure on X satisfies the strong Vitali property. Then

    Pq,tμ(E)=wq,tμ(E).

    Proof. Since any Δ-fine packing π is a Δ-fine weak-relative-packing, we have the first inequality

    Pq,t,μ(E)wq,t,μ(E).

    Now, we will prove the converse inequality. Since, by Proposition 5.10, we have wq,t,μ(E)KPq,t,μ(E) and then

    Pq,t,μ(E)=0wq,t,μ(E)=0andPq,t,μ(E)=wq,t,μ(E)=.

    Therefore, we may assume that Pq,t,μ(E)<. Let Θ=Pq,t,μE then, by Corollary 5.2, we have

    D_q,tμ(x,Θ)=1 for Pq,t,μalmost every xE.

    For α<1, we set

    Gk={xE,r1/kPq,t,μ(EB(x,r))αμ(B(x,r))qν(B(x,r))t}

    and let Gk=EGk. Therefore,

    limkPq,t,μ(Gk)=Pq,t,μ(E),limkwq,h,μ(Gk)=wq,t,μ(E)

    and

    limkPq,t,μ(Gk)=0=limkwq,t,μ(Gk).

    Let Δ be a gauge satisfying Δ(x)<1/k. Then for any Δ-fine weak-relative-packing π of Gk, we have

    (x,r)παμ(B(x,r)qν(B(x,r))t(x,r)πPq,t,μ(EB(x,r))(x,r)πPq,t,μ(GkB(x,r))+(x,r)πPq,t,μ(GkB(x,r)).

    As π is a Δ-fine weak-relative-packing of Gk, the (GkB)'s are disjoint, and so

    (x,r)πPq,t,μ(GkB(x,r))Pq,t,μ(Gk).

    Since X is amenable to packing, we may distribute the constituents (xi,ri)i into K sequences πi={(xik,rik),kN}π, 1iK such that each πi is a Δ-fine packing of Gk. Therefore, we have

    (x,r)πPq,t,μ(GkB)KPq,t,μ(Gk)

    and so

    αwq,t,μ(Gk)Pq,t,μ(Gk)+KPq,t,μ(Gk).

    Letting k we get

    αwq,t,μ(E)Pq,t,μ(E).

    Since α<1 was arbitrary, the proof is complete.

    In real-line and higher-dimensional Euclidean spaces, the properties of various fractal and multifractal measures and dimensions have been extensively studied. It is frequently hard to create non-trivial self-similar or self-conformal sets, etc., in non-Euclidean spaces. In this study, we discuss how to formulate the definitions for use in general metric spaces. We look into the relative Hausdorff measures and packing measures defined in a separable metric space. We present a few product inequalities that follow from a revised formulation of the density theorems for these measures. We also demonstrate that the Henstock-Thomson variation measures can be stated in terms of one another. In this situation, the weak-Vitali property becomes relevant.

    The referees' constructive criticism and recommendations on the text are appreciated by the authors.

    The authors acknowledge the Deanship of Scientific Research, Vice Presidency for Graduate Studies and Scientific Research at King Faisal University, Saudi Arabia, for financial support under the annual funding track [GRANT3096].

    The authors declare that there is no conflicts of interest in this paper.



    [1] N. Attia, H. Jebali, M. H. Khalifa, A note on fractal measures of cartesian product sets, B. Malays. Math. Sci. So., 44 (2021), 4383–4404. https://doi.org/10.1007/s40840-021-01172-1 doi: 10.1007/s40840-021-01172-1
    [2] N. Attia, S. Selmi, C. Souissi, Some density results of relative multifractal analysis, Chaos, Solitons Fract., 103 (2017), 1–11. https://doi.org/10.1016/j.chaos.2017.05.029 doi: 10.1016/j.chaos.2017.05.029
    [3] N. Attia, B. Selmi. Regularities of multifractal Hewitt-Stromberg measures, Commun. Korean Math. Soc., 34 (2019), 213–230.
    [4] N. Attia, R. Guedri, O. Guizani Note on the multifractal measures of Cartesian product sets, Commun. Korean Math. Soc., 37 (2022), 1073–1097.
    [5] N. Attia, R. Guedri A note on the Regularities of Hewitt-Stromberg h-measures, Ann. Univ. Ferrara, (2022), 1–17. https://doi.org/10.1007/s11565-022-00405-w doi: 10.1007/s11565-022-00405-w
    [6] N. Attia, H. Jebali, G. Guedri, On a class of Hausdorff measure of cartesian sets in metric spaces, Topol. Methods Nonlinear Anal., (2023), in press.
    [7] N. Attia, relative multifractal spectrum, Commun. Korean Math. Soc., 33 (2018), 459–471.
    [8] N. Attia, On the multifractal analysis of covering number on the Galton Watson tree, Journal of Applied Probability trust, 56 (2019), 265–281. https://doi.org/10.1017/jpr.2019.17 doi: 10.1017/jpr.2019.17
    [9] N. Attia, On the Multifractal Analysis of the Branching Random Walk in Rd, J. Theor. Probab., 27 (2014), 1329–1349. https://doi.org/10.1007/s10959-013-0488-x doi: 10.1007/s10959-013-0488-x
    [10] N. Attia, On the multifractal analysis of branching random walk on Galton-Watson tree with random metric, J. Theor. Probab., (2020), in press. https://doi.org/10.1007/s10959-019-00984-z
    [11] H. K. Baek, H. H. Lee, Regularity of d-measure, Acta Math. Hungarica., 99 (2003), 25–32. https://doi.org/10.1023/A:1024597010100 doi: 10.1023/A:1024597010100
    [12] H. K. Baek, Regularities of multifractal measures, Proc. Indian Acad. Sci., 118 (2008), 273–279. https://doi.org/10.1007/s12044-008-0019-3 doi: 10.1007/s12044-008-0019-3
    [13] A. S. Besicovitch, A general form of the covering principle and relative differentiation of additive functions, Proc. Cambridge Philos. Soc., 41 (1945), 103–110. https://doi.org/10.1017/S0305004100022453 doi: 10.1017/S0305004100022453
    [14] A. S. Besicovitch, P. A. P. Mohan, The measure of product and cylinder sets, J. Lond.Math. Soc., 20 (1945), 110–120. https://doi.org/10.1112/jlms/s1-20.2.110 doi: 10.1112/jlms/s1-20.2.110
    [15] J. Cole, L. Olsen. Multifractal Variation Measures and Multifractal Density Theorems, Real Anal. Exch., 28 (2003), 501–514. https://doi.org/10.14321/realanalexch.28.2.0501 doi: 10.14321/realanalexch.28.2.0501
    [16] J. Cole, Relative multifractal analysis, Choas, Solitons Fract., 11 (2000), 2233–2250. https://doi.org/10.1016/S0960-0779(99)00143-5 doi: 10.1016/S0960-0779(99)00143-5
    [17] C. D. Cutler, The density theorem and Hausdorff inequality for packing measure in general metric space, Illinois J. Math., 39 (1995), 676–694. https://doi.org/10.1215/ijm/1255986272 doi: 10.1215/ijm/1255986272
    [18] M. Dai, The equivalence of measures on Moran set in general metric space, Chaos, Solitons Fract., 29 (2006), 55–64. https://doi.org/10.1016/j.chaos.2005.10.016 doi: 10.1016/j.chaos.2005.10.016
    [19] M. Das, Local properties of self-similar measures, Illinois J. Math., 42 (1998), 313–332. https://doi.org/10.1215/ijm/1256045047 doi: 10.1215/ijm/1256045047
    [20] Z. Douzi, B. Selmi, On the Borel regularity of the relative centered multifractal measures. In the Book: Frontiers of Fractal Analysis: Recent Advances and Challenges, Taylor & Francis Group, LLC, CRC Press, 2022.
    [21] Z. Douzi, B. Selmi, Regularities of general Hausdorff and packing functions, Chaos, Solitons Fract., 123 (2019), 240–243. https://doi.org/10.1016/j.chaos.2019.04.001 doi: 10.1016/j.chaos.2019.04.001
    [22] Z. Douzi, B. Selmi, A relative multifractal analysis: Box-dimensions, densities, and projections, Quaest. Math., 45 (2022), 1243–1296. https://doi.org/10.2989/16073606.2021.1941375 doi: 10.2989/16073606.2021.1941375
    [23] G. A. Edgar, Centered densities and fractal measures, New York J. Math., 13 (2007), 33–87.
    [24] G. A. Edgar, Integral, probability, and fractal measures, Springer-Verlag, New York, 1998.
    [25] G. A. Edgar, Packing measure in general metric space, Real Anal. Exch., 26 (1998), 831–852. https://doi.org/10.2307/44154081 doi: 10.2307/44154081
    [26] K. Falconer, R. D. Mauldin, Fubini-type theorems for general measure constructions, Mathematika, 47 (2002), 251–265. https://doi.org/10.1112/S0025579300015862 doi: 10.1112/S0025579300015862
    [27] K. J. Falconer, The geometry of fractal sets: Mathematical Foundations and Applications, John Wiley & Sons Ltd., 1990. https://doi.org/10.2307/2532125
    [28] R. Guedri, N. Attia, A note on the generalized Hausdorff and packing measures of product sets in metric spaces, Math. inequal. appl., 25 (2022), 335–358. https://doi.org/10.7153/mia-2022-25-20 doi: 10.7153/mia-2022-25-20
    [29] O. Guizani, A. Mahjoub, N. Attia, On the Hewitt-Stromberg measure of product sets, Ann. Mat. Pur. Appl., 200 (2020), 867–879. https://doi.org/10.1007/s10231-020-01017-x doi: 10.1007/s10231-020-01017-x
    [30] H. Haase, The packing theorem and packing measure, Math. Nachr., 146 (1990), 77–84. https://doi.org/10.1002/mana.19901460307 doi: 10.1002/mana.19901460307
    [31] C. A. Hayes, C. Y. Paul, Derivation and Martingales, Springer-Verlag New York, 1970. https://doi.org/10.1007/978-3-642-86180-2
    [32] F. Hofbauer, P. Raith, T. Steinberger, Multifractal dimensions for invariant subsets of piecewise monotonic interval maps, preprint, 2000.
    [33] J. Howroyd, On Hausdorff and packing dimension of product spaces, Math. Proc. Camb. Phil. Soc., 119 (1996), 715–727. https://doi.org/10.1017/S0305004100074545 doi: 10.1017/S0305004100074545
    [34] L. Huang, J. Yu, The multifractal Hausdorff and packing measure of general Sierpinski carpets, Acta Math. Sci. Ser. B Engl. Ed., 20 (2000), 313–321. https://doi.org/10.1016/S0252-9602(17)30638-0 doi: 10.1016/S0252-9602(17)30638-0
    [35] X. Hu, S. J. Taylor, Fractal properties of products and projections of measures in R, Math. Proc. Camb. Phil. Soc., 115 (1994), 527–544. https://doi.org/10.1017/S0305004100072285 doi: 10.1017/S0305004100072285
    [36] H. Joyce, D. Preiss, On the existence of subsets of positive finite packing measure, Mathematika, 42 (1995), 14–24. https://doi.org/10.1112/S002557930001130X doi: 10.1112/S002557930001130X
    [37] M. Khelifi, H. Lotfi, A. Samti, B. Selm, A relative multifractal analysis, Choas, Solitons Fract., 140 (2020), 110091. https://doi.org/10.1016/j.chaos.2020.110091 doi: 10.1016/j.chaos.2020.110091
    [38] D. G. Larman, A new theory of dimension, Proc. London Math. Soc., 17 (1967), 178–192. https://doi.org/10.1112/plms/s3-17.1.178 doi: 10.1112/plms/s3-17.1.178
    [39] H. H. Lee, I. S. Baek, The relations of Hausdorff, -Hausdorff, and packing measures, Real Anal. Exch., 16 (1991), 497–507. https://doi.org/10.2307/44153728 doi: 10.2307/44153728
    [40] H. H. Lee, I. S. Baek, On d-measure and d-dimension, Real Anal. Exch., 17 (1992), 590–596. https://doi.org/10.2307/44153752 doi: 10.2307/44153752
    [41] H. H. Lee, I. S. Baek, The comparison of d-meuasure with packing and Hausdorff measures, Kyungpook Math. J., 32 (1992), 523–531.
    [42] Z. Li, B. Selmi, On the multifractal analysis of measures in a probability space, Illinois J. Math., 65 (2021), 687–718. https://doi.org/10.1215/00192082-9446058 doi: 10.1215/00192082-9446058
    [43] B. Mandelbrot, Les Objects fractales: forme, hasard et Dimension, Flammarion, 1975.
    [44] B. Mandelbrot, The Fractal Geometry of Nature, New York: WH Freeman, 1982.
    [45] J. M. Marstrand, The dimension of Cartesian product sets, Proc. Lond. Math. Soc., 50 (1954), 198–206. https://doi.org/10.1017/S0305004100029236 doi: 10.1017/S0305004100029236
    [46] P. Mattila, The Geometry of Sets and Measures in Euclidean Spaces, Cambridge University Press, Cambridge, 1995.
    [47] P. Mattila, R.D. Mauldin, Measure and dimension functions: measurablility and densities, Math. Proc. Camb. Phil. Soc., 121 (1997), 81–100. https://doi.org/10.1017/S0305004196001089 doi: 10.1017/S0305004196001089
    [48] A. P. Morse, J. F. Randolph, The ϕ-rectifiable subsets of the plane, Am. Math. Soc. Trans., 55 (1944), 236–305. https://doi.org/10.1090/S0002-9947-1944-0009975-6 doi: 10.1090/S0002-9947-1944-0009975-6
    [49] A. Mahjoub, N. Attia, A relative vectorial multifractal formalism, Chaos, Solitons Fract., 160 (2022), 112221. https://doi.org/10.1016/j.chaos.2022.112221 doi: 10.1016/j.chaos.2022.112221
    [50] L. Olsen, A multifractal formalism, Adv. Math. 116 (1995), 82–196. https://doi.org/10.1006/aima.1995.1066 doi: 10.1006/aima.1995.1066
    [51] L. Olsen, Dimension Inequalities of Multifractal Hausdorff Measures and Multifractal Packing Measures, Math. Scand., 86 (2000), 109–129. https://doi.org/10.7146/math.scand.a-14284 doi: 10.7146/math.scand.a-14284
    [52] L. Olsen, Multifractal dimensions of product measures, Math. Proc. Camb. Phil. Soc., 120 (1996), 709–734. https://doi.org/10.1017/S0305004100001675 doi: 10.1017/S0305004100001675
    [53] L. Olsen, Multifractal Geometry, Proceeding, Fractal Geometry and Stochastics Ⅱ, Birkhäuser Basel, 2000.
    [54] T. O'Neil, The multifractal spectra of projected measures in Euclidean spaces, Chaos Solitons Fract., 11 (2000), 901–921. https://doi.org/10.1016/S0960-0779(98)00256-2 doi: 10.1016/S0960-0779(98)00256-2
    [55] Y. Pesin, Dimension theory in dynamical systems, Contemporary views and applications, Chicago Lectures in Mathematics, University of Chicago Press, Chicago, IL, 1997.
    [56] X. S. Raymond, C. Tricot, Packing regularity of sets in n-space, Math. Proc. Camb. Philos. Soc., 103 (1988), 133–145. https://doi.org/10.1017/S0305004100064690 doi: 10.1017/S0305004100064690
    [57] A. Schechter, On the centred Hausdorff measure, J. London Math. Soc., 62 (2000), 843–851. https://doi.org/10.1112/S0024610700001356 doi: 10.1112/S0024610700001356
    [58] B. Selmi, Some results about the regularities of multifractal measures, Korean J. Math., 26 (2018), 271–283.
    [59] B. Selmi, On the strong regularity with the multifractal measures in a probability space, Anal. Math. Phys., 9 (2019), 1525–1534. https://doi.org/10.1007/s13324-018-0261-5 doi: 10.1007/s13324-018-0261-5
    [60] B. Selmi, The relative multifractal analysis, review and examples, Acta Sci. Math., 86 (2020), 635–666. https://doi.org/10.14232/actasm-020-801-8 doi: 10.14232/actasm-020-801-8
    [61] B. Selmi, The relative multifractal densities: a review and application, J. Interdiscip. Math., 24 (2021), 1627–1644. https://doi.org/10.1080/09720502.2020.1860286 doi: 10.1080/09720502.2020.1860286
    [62] B. Selmi, On the multifractal dimensions of product measures, Nonlinear Studies, 29 (2022), 247–255.
    [63] S. J. Taylor, C. Tricot, The packing measure of rectifiable subsets of the plane, Math. Proc. Camb. Philos. Soc., 99 (1986), 285–296. https://doi.org/10.1017/S0305004100064203 doi: 10.1017/S0305004100064203
    [64] S. J. Taylor, C. Tricot, Packing measure and its evaluation for a brownian path, Trans. Am. Math. Soc., 288 (1985), 679–699. https://doi.org/10.1090/S0002-9947-1985-0776398-8 doi: 10.1090/S0002-9947-1985-0776398-8
    [65] S. Thomson, Construction of measures in metric spaces, J. London Math. Soc., 14 (1976), 21–24. https://doi.org/10.1112/jlms/s2-14.1.21 doi: 10.1112/jlms/s2-14.1.21
    [66] J. Peyrière, A vectorial multifractal formalism, Fractal geometry and applications: a jubilee of Benoit Mandelbrot, Part 2: Multifractals, Probability and Statistical Mechanics, Applications, 2004. https://doi.org/10.1090/pspum/072.2/2112124
    [67] S. Wen, M. Wu, Relations between packing premeasure and measure on metric space, Acta Math. Sci., 27 (2007), 137–144. https://doi.org/10.1016/S0252-9602(07)60012-5 doi: 10.1016/S0252-9602(07)60012-5
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